Graph Data Management Fundamental Issues and Recent Developments /

This book presents a comprehensive overview of fundamental issues and recent advances in graph data management. Its aim is to provide beginning researchers in the area of graph data management, or in fields that require graph data management, an overview of the latest developments in this area, both...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Fletcher, George (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Hidders, Jan (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Larriba-Pey, Josep Lluís (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Data-Centric Systems and Applications,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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003 DE-He213
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245 1 0 |a Graph Data Management  |h [electronic resource] :  |b Fundamental Issues and Recent Developments /  |c edited by George Fletcher, Jan Hidders, Josep Lluís Larriba-Pey. 
250 |a 1st ed. 2018. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2018. 
300 |a XII, 186 p. 64 illus., 27 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a Data-Centric Systems and Applications,  |x 2197-9723 
505 0 |a Introduction -- Basics of Graph Data Management -- Large Scale Graph Processing Systems -- Motif Discovery in Large Graphs -- Applications of Flexible Querying to Graphs -- Graph Visualization -- Graph Management Benchmarking -- Parallel Processing of Graphs -- Graph Mining -- Connectivity Queries on Complex Networks. 
520 |a This book presents a comprehensive overview of fundamental issues and recent advances in graph data management. Its aim is to provide beginning researchers in the area of graph data management, or in fields that require graph data management, an overview of the latest developments in this area, both in applied and in fundamental subdomains. The topics covered range from a general introduction to graph data management, to more specialized topics like graph visualization, flexible queries of graph data, parallel processing, and benchmarking. The book will help researchers put their work in perspective and show them which types of tools, techniques and technologies are available, which ones could best suit their needs, and where there are still open issues and future research directions. The chapters are contributed by leading experts in the relevant areas, presenting a coherent overview of the state of the art in the field. Readers should have a basic knowledge of data management techniques as they are taught in computer science MSc programs. 
650 0 |a Database management. 
650 0 |a Computer science-Mathematics. 
650 0 |a Computer system failures. 
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650 2 4 |a System Performance and Evaluation.  |0 http://scigraph.springernature.com/things/product-market-codes/I13049 
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700 1 |a Hidders, Jan.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Larriba-Pey, Josep Lluís.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
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